Update app.py

adds local files issue debugging

app.py

@@ -70,12 +70,21 @@ class ModelManager:
             if model_name not in cls._instances:
                 try:
                     model_path = MODELS[model_name]
-                    tokenizer = T5Tokenizer.from_pretrained(
-                        model_path,
-                        token=HF_TOKEN,
-                        local_files_only=False  # Cache after first load
-                    )
+                    logger.debug(f"Attempting to load tokenizer from {model_path}")
                     
+                    try:
+                        tokenizer = T5Tokenizer.from_pretrained(
+                            model_path,
+                            token=HF_TOKEN,
+                            local_files_only=False
+                        )
+                        logger.debug("Tokenizer loaded successfully")
+                    except Exception as e:
+                        logger.error(f"Detailed tokenizer error: {str(e)}")
+                        logger.error(f"HF_TOKEN present: {bool(HF_TOKEN)}")
+                        raise
+    
+                    logger.debug("Attempting to load model")
                     model = T5ForConditionalGeneration.from_pretrained(
                         model_path,
                         token=HF_TOKEN,
@@ -83,18 +92,18 @@ class ModelManager:
                         low_cpu_mem_usage=True,
                         torch_dtype=torch.float32
                     )
+                    logger.debug("Model loaded successfully")
                     
-                    # Enable parallel processing
                     model.eval()
-                    torch.set_num_threads(8)  # Use all CPU cores
+                    torch.set_num_threads(8)
                     
                     cls._instances[model_name] = (model, tokenizer)
                     
                 except Exception as e:
                     logger.error(f"Error loading {model_name}: {str(e)}")
                     raise
-                    
-            return cls._instances[model_name]
+                
+        return cls._instances[model_name]
 
 class PredictionRequest(BaseModel):
     inputs: str